V. Kouznetsova

I. Tsigelny, S. Kesari, V. Kouznetsova, 2022, Acta myologica : myopathies and cardiomyopathies : official journal of the Mediterranean Society of Myology.

Organic Anion and Cation SLC22 “Drug” Transporter (Oat1, Oat3, and Oct1) Regulation during Development and Maturation of the Kidney Proximal Tubule

V. Kouznetsova, S. Nigam, Thomas F. Gallegos, 2012, PloS one.

A protein kinase A and Wnt-dependent network regulating an intermediate stage in epithelial tubulogenesis during kidney development.

V. Kouznetsova, M. Farquhar, K. Willert, 2012, Developmental biology.

Potential COVID-19 Protease Inhibitors: Repurposing FDAapproved Drugs

I. Tsigelny, V. Kouznetsova, D. Huang, 2020 .

Correlation of Mutational Signatures in Cancer Genes with General Signatures

I. Tsigelny, V. Kouznetsova, Junseon Park, 2021, OBM Genetics.

Machine-Learning Analysis of Single-Cell RNA-Seq Biomarkers in Gastric Cancer Caused By Helicobacter Pylori

I. Tsigelny, S. Kesari, V. Kouznetsova, 2022, Microbiology & Infectious Diseases.

Discovery of substituted 4-aminoquinazolines as selective Toll-like receptor 4 ligands.

I. Tsigelny, V. Kouznetsova, Shiyin Yao, 2014, Bioorganic & medicinal chemistry letters.

Identification of Substituted Pyrimido[5,4-b]indoles as Selective Toll-Like Receptor 4 Ligands

I. Tsigelny, V. Kouznetsova, Shiyin Yao, 2013, Journal of medicinal chemistry.

Key structural features for substrate binding to organic anion transporter 1 ( Oat 1 ; slc 22 a 6 ) identified by global untargeted metabolomics of Oat 1 null plasma

W. R. Wikoff, I. Tsigelny, V. Kouznetsova, 2011 .

Machine‐learning‐based virtual screening to repurpose drugs for treatment of Candida albicans infection

I. Tsigelny, V. Kouznetsova, Andrew Gao, 2022, Mycoses.

Structural diversity of Alzheimer's disease amyloid-β dimers and their role in oligomerization and fibril formation.

E. Masliah, I. Tsigelny, V. Kouznetsova, 2014, Journal of Alzheimer's disease : JAD.

Repurposing of drugs for combined treatment of COVID-19 cytokine storm using machine learning

I. Tsigelny, V. Kouznetsova, Maanaskumar R. Gantla, 2022, Medicine in Drug Discovery.

Recognition of early and late stages of bladder cancer using metabolites and machine learning

Eden L. Romm, I. Tsigelny, V. Kouznetsova, 2019, Metabolomics.

Microbiota Metabolites Affecting Host Diseases and Welfare

I. Tsigelny, V. Kouznetsova, An-Ning Fang, 2021 .

A novel small molecule inhibitor of p32 mitochondrial protein overexpressed in glioma

I. Tsigelny, S. Kesari, V. Kouznetsova, 2017, Journal of Translational Medicine.

Implications of viral infection in cancer development.

I. Tsigelny, V. Kouznetsova, Caroline Kellogg, 2021, Biochimica et biophysica acta. Reviews on cancer.

Untargeted metabolomics identifies enterobiome metabolites and putative uremic toxins as substrates of organic anion transporter 1 (Oat1).

W. R. Wikoff, I. Tsigelny, V. Kouznetsova, 2011, Journal of proteome research.

Targeting Epigenetic Regulators Using Machine Learning: Potential Sirtuin 2 Inhibitors

I. Tsigelny, V. Kouznetsova, Andrew Kessler, 2021, Journal of Computational Biophysics and Chemistry.

New inhibitors of p38 mitogen-activated protein kinase: Repurposing of existing drugs with deep learning

Igor Tsigelny, Aakarsh Vermani, Valentina Kouznetsova, 2021, Biointerface Research in Applied Chemistry.

The instructive role of metanephric mesenchyme in ureteric bud patterning, sculpting, and maturation and its potential ability to buffer ureteric bud branching defects.

V. Kouznetsova, D. Rose, C. Meyer-Schwesinger, 2009, American journal of physiology. Renal physiology.

HTLV-1 Tax Stimulates Molecular Events in Various Cancers

I. Tsigelny, V. Kouznetsova, Wanying Zhu, 2020 .

Alzheimer's Disease Diagnostics Using miRNA Biomarkers and Machine Learning.

I. Tsigelny, V. Kouznetsova, Amy Xu, 2022, Journal of Alzheimer's disease : JAD.

Proteins Flexibility as a Criterion for Elucidation of Activating Mutants in Personalized Cancer Medicine

Razelle Kurzrock, Igor F. Tsigelny, Valentina L. Kouznetsova, 2016, SIMULTECH.

Structure-selected RBM immunogens prime polyclonal memory responses that neutralize SARS-CoV-2 variants of concern

I. Tsigelny, E. Saphire, V. Kouznetsova, 2021, bioRxiv.

Polycomb repressive 2 complex—Molecular mechanisms of function

I. Tsigelny, V. Kouznetsova, Xiaoming Li, 2019, Protein science : a publication of the Protein Society.

Bovine leukemia virus relation to human breast cancer: Meta-analysis

I. Tsigelny, V. Kouznetsova, Andrew Gao, 2020, Microbial Pathogenesis.

Human Papillomavirus (HPV) Viral Proteins Substitute for the Impact of Somatic Mutations by Affecting Cancer-Related Genes: Meta-analysis and Perspectives

I. Tsigelny, V. Kouznetsova, Zisheng Shang, 2020, Journal of Infectiology.

A de novo compound targeting α-synuclein improves deficits in models of Parkinson's disease.

M. Chesselet, E. Masliah, I. Tsigelny, 2016, Brain : a journal of neurology.

Potential SARS-CoV-2 Spike Protein-ACE2 Interface Inhibitors: Repurposing FDA-approved Drugs

I. Tsigelny, V. Kouznetsova, Mark A Miller, 2022, Journal of Exploratory Research in Pharmacology.

Deep-learning- and pharmacophore-based prediction of RAGE inhibitors

Igor F Tsigelny, David Z Huang, Valentina L Kouznetsova, 2020, Physical biology.

Potential SARS-CoV-2 Nonstructural Protein 15 (NSP15) Inhibitors: Repurposing FDA-Approved Drugs

I. Tsigelny, V. Kouznetsova, J. Greenberg, 2021, Journal of Exploratory Research in Pharmacology.

Small Molecule Decoys of Aggregation for Elimination of Aβ-Peptide Toxicity

I. Tsigelny, L. Terenius, V. Kouznetsova, 2023, ACS chemical neuroscience.

Elucidation of common pharmacophores from analysis of targeted metabolites transported by the multispecific drug transporter-Organic anion transporter1 (Oat1).

I. Tsigelny, V. Kouznetsova, S. Nigam, 2011, Bioorganic & medicinal chemistry.

bHLH Transcription factors inhibitors for cancer therapy: general features for in silico drug design.

I. Tsigelny, S. Kesari, V. Kouznetsova, 2014, Current medicinal chemistry.

Neuroprotective effects of the anti‐cancer drug sunitinib in models of HIV neurotoxicity suggests potential for the treatment of neurodegenerative disorders

Igor F Tsigelny, Diana Price, Valentina L Kouznetsova, 2014, British journal of pharmacology.

Detection of Unspecified Inflammatory Bowel Disease, Crohn’s Disease and Ulcerative Colitis via Metabolite Analysis and Machine Learning

I. Tsigelny, V. Kouznetsova, Elliot Kim, 2021 .

Cripto stabilizes GRP78 on the cell membrane

I. Tsigelny, V. Kouznetsova, K. Teigen, 2018, Protein science : a publication of the Protein Society.

An All-Atom Model of the Structure of Human Copper Transporter 1

I. Tsigelny, V. Kouznetsova, S. Howell, 2012, Cell Biochemistry and Biophysics.

Locating blood vessels in retinal images by piece-wise threshold probing of a matched filter response

A Hoover, V Kouznetsova, M Goldbaum, 1998, AMIA.

An All-Atom Model of the Structure of Human Copper Transporter 1

I. Tsigelny, V. Kouznetsova, S. Howell, 2012, Cell Biochemistry and Biophysics.

Pharmacophore Investigations of Potential COVID-19 RNA Polymerase (Rdrp) Inhibitors: Repurposing FDA-Approved Drugs

I. Tsigelny, V. Kouznetsova, Mark A Miller, 2021 .

Molecular determinants of α-synuclein mutants' oligomerization and membrane interactions.

E. Masliah, I. Tsigelny, V. Kouznetsova, 2015, ACS chemical neuroscience.

Automated registration of digital ocular fundus images for comparison of lesions

Mark Nelson, Michael H. Goldbaum, William E. Hart, 1993, Photonics West - Lasers and Applications in Science and Engineering.

Molecular dynamics use in personalized cancer medicine: Example of MET Y501C mutation

Razelle Kurzrock, Igor F. Tsigelny, Valentina L. Kouznetsova, 2016, 2016 6th International Conference on Simulation and Modeling Methodologies, Technologies and Applications (SIMULTECH).

Modeling of mutant superoxide dismutase 1 octamers with cross-linked disulfide bonds

I. Tsigelny, V. Kouznetsova, K. Teigen, 2022, Journal of Molecular Modeling.

Modeling of glycerol-3-phosphate transporter suggests a Potential 'Tilt' Mechanism involved in its Function

Jerry Greenberg, Valentina Kouznetsova, Igor F. Tsigelny, 2008, J. Bioinform. Comput. Biol..

Locating blood vessels in retinal images by piecewise threshold probing of a matched filter response

A.D. Hoover, V. Kouznetsova, M. Goldbaum, 2000, IEEE Transactions on Medical Imaging.

Machine-Learning-Based Virtual Screening and Ligand Docking Identify Potent HIV-1 Protease Inhibitors

I. Tsigelny, V. Kouznetsova, Andrew K. Gao, 2023, Artificial Intelligence Chemistry.

Neuroprotective effects of the anti‐cancer drug sunitinib in models of HIV neurotoxicity suggests potential for the treatment of neurodegenerative disorders

E. Masliah, I. Tsigelny, E. Rockenstein, 2014, British journal of pharmacology.

A novel small molecule inhibitor of p32 mitochondrial protein overexpressed in glioma

I. Tsigelny, S. Kesari, V. Kouznetsova, 2017, Journal of Translational Medicine.

Diagnostics of ovarian cancer via metabolite analysis and machine learning.

I. Tsigelny, V. Kouznetsova, S. Kesari, 2023, Integrative biology : quantitative biosciences from nano to macro.

Discovery of substituted 4-aminoquinazolines as selective Toll-like receptor 4 ligands.

I. Tsigelny, V. Kouznetsova, Shiyin Yao, 2014, Bioorganic & medicinal chemistry letters.

Detection of the Inflammatory Bowel Diseases via Machine Learning Methods

Igor F. Tsigelny, Valentina L. Kouznetsova, Elliot Kim, 2021, IntelliSys.

Hierarchical control of coherent gene clusters defines the molecular mechanisms of glioblastoma.

I. Tsigelny, S. Kesari, V. Kouznetsova, 2015, Molecular bioSystems.

A hierarchical coherent‐gene‐group model for brain development

J. Changeux, I. Tsigelny, M. Baitaluk, 2013, Genes, brain, and behavior.

Targeting of insulin receptor endocytosis as a treatment to insulin resistance

I. Tsigelny, V. Kouznetsova, Bryce Tim, 2023, Journal of Diabetes and its Complications.

Diagnostics of Thyroid Cancer Using Machine Learning and Metabolomics

V. Kouznetsova, Santosh Kesari, Alyssa Kuang, 2023, Metabolites.

Two-Stage Deep-Learning Classifier for Diagnostics of Lung Cancer Using Metabolites

I. Tsigelny, V. Kouznetsova, Santosh Kesari, 2023, Metabolites.

Repurposing of drugs for combined treatment of COVID-19 cytokine storm using machine learning

I. Tsigelny, V. Kouznetsova, Maanaskumar R. Gantla, 2022, Medicine in Drug Discovery.

Machine Learning Strategies to Distinguish Oral Cancer from Periodontitis Using Salivary Metabolites

Igor F. Tsigelny, Eden L. Romm, Jeremy Li, 2020, IntelliSys.

Synergism in actions of HBV with aflatoxin in cancer development.

I. Tsigelny, V. Kouznetsova, Santosh Kesari, 2023, Toxicology.

Fibrin drives thromboinflammation and neuropathology in COVID-19.

T. Deerinck, K. Red-Horse, Renaud Schuck, 2024, Nature.

Role of Senataxin in Amyotrophic Lateral Sclerosis.

I. Tsigelny, V. Kouznetsova, Santosh Kesari, 2023, Journal of molecular neuroscience : MN.